DocumentCode :
538872
Title :
Chaos Genetic Algorithm for Aircraft Route Planning Problem
Author :
Gao, Ye ; Zheng, Tao
Author_Institution :
Coll. of Comput. Sci. & Technol., Xi´´an Univ. of Sci. & Technol., Xi´´an, China
Volume :
1
fYear :
2010
fDate :
16-17 Dec. 2010
Firstpage :
280
Lastpage :
284
Abstract :
The paper discusses route planning issues of aircraft by Chaos Genetic Algorithm, emphases on planning its flight track of Chasing targets, at a low altitude. Firstly, the dynamic model of the aircraft is discreted in the low-altitude and complex environments, Secondly, according to the constraints, this paper develops modeling drawing on grid method in the 2D space after the 3D is divided into multiple 2D, Thirdly, chaos genetic algorithm is applied for the path optimization in the 2D space, Finally, the track search process to avoid obstacles is completed in the 3D space. About simulation, Creator and Vega are used as modeling tools to build the simulation platform. It´s proved that the algorithm can plan a flight path which meets the requirements effectively, and avoid the complexity of solving route planning problem in the 3D space by transforming 3D into 2D. Therefore, it improves the engineering practicability of the algorithm.
Keywords :
aircraft; attitude control; chaos; collision avoidance; genetic algorithms; path planning; search problems; 2D space; Creator; Vega; aircraft route planning problem; chaos genetic algorithm; chasing targets; flight track; grid method; modeling drawing; obstacle avoidance; path optimization; track search process; Aircraft; Equations; Mathematical model; Optimization; Planning; Solid modeling; Three dimensional displays; Chaos Genetic Algorithm; Creator; Three-dimensional route planning; Vega;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9247-3
Type :
conf
DOI :
10.1109/GCIS.2010.206
Filename :
5708761
Link To Document :
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